TY  - JOUR
T1  - Resource Allocation and Scheduling Smart Home through Optimizing HVAC System Design Using PSO Algorithm to Reduce the Required Energy
A1  - Hajar Zahrai
A1  - Farzad Peyravi
JF  - specialty journal of electronic and computer sciences
JO  - SPEC. J. ELECTRON. COMPUT. SCI.
SN  - 2412-7485
Y1  - 2017
VL  - 3
IS  - 2
SP  - 38
EP  - 51
N2  - The proper performance of a system has a great significance in its traditional concept. Additionally, it is important in energy saving viewpoint. Particle Swarm Optimization (PSO) is a modern evolutionary algorithm which retains a better convergence rate and computational accuracy, comparing to other evolutionary algorithms. This study investigates the optimal design for HVAC system in apartments using PSO algorithm and examines the capabilities of energy consumption in HVAC designed system. Also, the resource allocation and scheduling the chores in smart home is modeled using PSO algorithm. Using scheduling algorithms, the execution time for energy resources allocation can be decreased in the buildings and as a result, the energy consumption can be decreased.
UR  - https://sciarena.com/article/resource-allocation-and-scheduling-smart-home-through-optimizing-hvac-system-design-using-pso-algorithm-to-reduce-the-required-energy
ER  -